Information
Skills
Master core knowledge in control, electronics, computing, energy, signal, image, and AI.
- Understand cross-disciplinary interactions and model complex systems.
- Apply digital tools and analytical methods.
- Manage projects, work in teams, and communicate in French and English.
- Develop autonomy, critical thinking, and readiness for M2 specialization.
Objectives
The first year of the Master’s program (M1) is distinguished by its generalist and foundational nature, the diversity of courses offered, and the breadth of its disciplinary scope. Delivered across three campuses (Orsay-Cachan, Évry, and Versailles), it aims to provide students with a solid grounding in the program’s core fields: control engineering, electronics, industrial computing, computer engineering, electrical energy, signal and image processing, and artificial intelligence. It also seeks to help students understand the interactions among these disciplines.
Fundamental courses are offered in the first semester through major teaching units (UE) specific to each discipline. In the second semester, a range of optional units, linked to the specialties of the different campuses, enables students to deepen their knowledge in selected areas and explore new ones. These units are organized into thematic clusters leading to different M2 pathways.
The curriculum also includes English courses, project management training, and a supervised project.
Career Opportunities
Further Study Opportunities
PhD
Engineering school
fields of statistical learning, artificial intelligence and advanced data analysis
Data Scientist, Data Analyst, Ingénieur·e en Machine Learning dans des secteurs innovants (tech, finance, santé, énergie, etc.) ;
R&D researcher or data modelling and analysis expert in leading-edge companies or laboratories.
2nd year Master’s
Head of project/mission
Head of development
Research officer
Admission Route
Capacity
Available Places
Application Period(s)
From 15/01/2026 to 16/03/2026
From 19/06/2026 to 25/06/2026
From February 17th to March 16th, 2026
To find out which platform you should apply through, please see the Masters' applications and enrolment page.
Supporting documents
Compulsory supporting documents
Rank of previous year and size of the promotion.
Copy diplomas.
Copy of identity document.
Motivation letter.
All transcripts of the years / semesters validated since the high school diploma at the date of application.
Curriculum Vitae.
Detailed description and hourly volume of courses taken since the beginning of the university program.
Additional supporting documents
Certificate of French (compulsory for non-French speakers).
VAP file (obligatory for all persons requesting a valuation of the assets to enter the diploma).
Supporting documents :
- Residence permit stating the country of residence of the first country
- Or receipt of request stating the country of first asylum
- Or document from the UNHCR granting refugee status
- Or receipt of refugee status request delivered in France
- Or residence permit stating the refugee status delivered in France
- Or document stating subsidiary protection in France or abroad
- Or document stating temporary protection in France or abroad.
| Subjects | ECTS | Semester | Lecture | directed study | practical class | Lecture/directed study | Lecture/practical class | directed study/practical class | distance-learning course | Project | Supervised studies |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Basics of smart systems | 4 | Semestre 2 | 30 | 30 | |||||||
| Adaptive control | 4 | Semestre 2 | 30 | 30 | |||||||
| Fundamentals of autonomous systems | 4 | Semestre 2 | 30 | 30 | |||||||
| Language | 4 | Semestre 2 | 60 | ||||||||
| Management | 4 | Semestre 2 | 30 | 30 | |||||||
| Networks and programming systems | 3 | Semestre 2 | 30 | 30 | |||||||
| Nonlinear systems | 4 | Semestre 2 | 30 | 30 | |||||||
| Sensor integration | 3 | Semestre 2 | 30 | 30 | |||||||
| Subjects | ECTS | Semester | Lecture | directed study | practical class | Lecture/directed study | Lecture/practical class | directed study/practical class | distance-learning course | Project | Supervised studies |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Formation Générale 1 | |||||||||||
| Anglais | 2 | Semestre 1 | |||||||||
| Sciences de l'ingénierie et des Systèmes | 3 | Semestre 1 | 8 | 10 | 8 | ||||||
| Socle Disciplinaire - S1 - Obligatoire | |||||||||||
| Automatique Moderne | 5 | Semestre 1 | 12 | 12 | 16 | ||||||
| Dynamique des systèmes mobiles | 5 | Semestre 1 | |||||||||
| Architecture des systèmes embarqués | 5 | Semestre 1 | |||||||||
| Traitement du Signal | 5 | Semestre 1 | |||||||||
| Socle Disciplinaire - S1 - Électif (1 parmi 2) | |||||||||||
| Ingénierie Mécatronique | 5 | Semestre 1 | |||||||||
| Programmation | 5 | Semestre 1 | |||||||||
| Subjects | ECTS | Semester | Lecture | directed study | practical class | Lecture/directed study | Lecture/practical class | directed study/practical class | distance-learning course | Project | Supervised studies |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Formation Générale 2 | |||||||||||
| Sciences de l'ingénierie et des Données | 3 | Semestre 2 | |||||||||
| Conduite de Projets | 2 | Semestre 2 | 14 | ||||||||
| Socle Disciplinaire - S2 - Électif (1 bouquet parmi 3) | |||||||||||
| Télécommunications et Systèmes Temps Réels | |||||||||||
| Systèmes Temps Réels | 5 | Semestre 2 | |||||||||
| Télécommunications pour Systèmes Mobiles | 5 | Semestre 2 | |||||||||
| Vision, Perception et Intelligence | |||||||||||
| Bases de l'Intelligence Artificielle | 5 | Semestre 2 | |||||||||
| Vision et Perception | 5 | Semestre 2 | |||||||||
| Systèmes Automatiques Mobiles | |||||||||||
| Dynamique des véhicules terrestres et aériens | 5 | Semestre 2 | |||||||||
| Systèmes muli-agents et coopération | 5 | Semestre 2 | |||||||||
| Travaux d'Etudes et de Recherche (TER) | |||||||||||
| Travaux d'études et de recherche | 5 | Semestre 2 | 50 | ||||||||
| Socle Disciplinaire - S2 - Obligatoire | |||||||||||
| Modélisation et Commande Avancée | 5 | Semestre 2 | |||||||||
| Instrumentation et Filtrage | 5 | Semestre 2 | |||||||||
Teaching Location(s)
Programme
Training campus
